We are seeking a Senior Research Associate to join our team working at the interface of generative AI and biology. The ideal candidate is experienced in molecular biology, biochemistry, mammalian cell culture, and high-throughput screening methods. You will work both collaboratively and independently with teammates to develop and execute screening assays to functionally test and characterize novel proteins designed using our proprietary models .

This is an opportunity to help shape and grow an organization that advances artificial intelligence and applies it to longstanding scientific challenges. This role requires strong technical capability, adaptability, organizational and communication skills, as well as ability to work independently and collaboratively in a dynamic team-oriented environment.

At Latent Labs, we are building frontier models that learn the fundamentals of biology. We pursue ambitious goals with curiosity and are committed to scientific excellence. Before building Latent Labs, our team co-developed DeepMind’s Nobel-prize winning AlphaFold, invented latent diffusion, and built pioneering lab data management systems as well as high throughput protein screening platforms. At Latent Labs you will be working with some of the brightest minds in generative AI and biology.

Our team is committed to interdisciplinary exchange, continuous learning and collaboration. Team offsites help us foster a culture of trust across our London and San Francisco sites.

We’re looking for innovators passionate about tackling complex challenges and maximizing positive global impact. Join us on our moonshot mission.

• You are a skilled experimental biologist. You have a Bachelor’s degree in molecular/cell biology, biochemistry, or a related field with two years of industry or academic research experience in the above field(s); or Master’s degree in molecular/cell biology, biochemistry, or a related field
• You have experience with assay development. You have at least one year of experience scoping, developing, and running experimental assays to answer scientific questions (e.g. yeast or mammalian display to study protein-protein interactions). You are able to work with assays in a variety of systems and organisms (e.g. mammalian cell lines, yeast, bacterial, phage, or in vitro) and can independently execute and troubleshoot experiments
• You have experience with high throughput workflows. You have experience with cell-based assays, molecular cloning, flow cytometry/FACS, and/or next-generation sequencing in biotechnology industry settings. You have experience with high-throughput biology methods as well as laboratory automation.
• You are used to managing large amounts of data. You have experience using and improving LIMS, Benchling or similar tools, to manage samples and data from high-throughput experiments
• You have strong scientific communication skills. You have experience successfully working as part of a cross-functional collaborative scientific team and you have strong scientific communication skills.
• You are a mission driven innovator. You are passionate about making a positive impact on the world, whether it's for patients, partners or beyond. You are motivated by the end goal and are flexible in adapting to different approaches and methodologies. You are interested in new and innovative ways to engineer biology while leveraging existing knowledge and expertise.

• You thrive in a dynamic and ambiguous environment. You excel in a fast-paced setting where goals must be achieved efficiently and urgently. You have a keen eye with high attention-to-detail for creating, then optimizing processes to improve speed and repeatability. You are an advocate for lab automation, both through hardware and software.

• You are a data scientist. Proficiency with data analysis and handling using R, JMP, SQL, and other software tools such as python and python notebooks.
• You’ve worked in a young biotech before. You have worked in startups and helped the company set up new workflows and processes
• You have experience with developing and testing antibodies or nanobodies
• You have experience in research-scale protein production (preferably in high throughput) and are proficient with biophysical assays such as BLI or SPR.

1. High-throughput assay development and execution :
   • Help develop and execute high-throughput functional assays, cell culture, and molecular biology and biochemistry workflows to characterize and validate novel protein designs
   • Scope and integrate high-throughput wet- and dry-lab tools into experimental workflows
   • Contribute to development and improvement of high-throughput screening platform
   • Detailed, accurate, and timely documentation of experimental procedures and parameters and handoff of data and analysis results to stakeholders
   • Regular communications of experimental outcomes and analysis results to team members and stakeholders
2. Self development:
   • Stay on top of relevant developments in synthetic biology
   • Continue building your understanding of generative AI as well as expanded areas of protein and cell biology
   • Participate in knowledge sharing, e.g. organize and present at our internal reading group.
   • Attend and present at conferences when relevant.

We offer strongly competitive compensation and benefits packages, including:

• Private health insurance
• Pension/401(K) contributions
• Generous leave policies (including gender neutral parental leave)
• Travel opportunities and more

We also offer a stimulating work environment, and the opportunity to shape the future of synthetic biology through the application of breakthrough generative models.

We welcome applicants from all backgrounds and we are committed to building a team that represents a variety of backgrounds, perspectives, and skills.

To apply, please fill in our application form.

We are seeking a Computational Protein Design Scientist to join our team working at the interface of generative AI and synthetic biology. You will play a key role amongst a team of scientists designing and engineering proteins for specific functions. This is an opportunity to help shape and grow an organization that advances artificial intelligence and applies it to longstanding scientific challenges. Using your blend of computational expertise and in-depth biochemical understanding of proteins, you will generate insights to improve protein functionality and operate at the interface between our machine learning and experimental platform units, working closely to seamlessly integrate AI generations and lab validation data.

At Latent Labs, we are building frontier models that learn the fundamentals of biology. We pursue ambitious goals with curiosity and are committed to scientific excellence. Before building Latent Labs, our team co-developed DeepMind’s Nobel-prize winning AlphaFold, invented latent diffusion, and built pioneering lab data management systems as well as high throughput protein screening platforms. At Latent Labs you will be working with some of the brightest minds in generative AI and biology.

Our team is committed to interdisciplinary exchange, continuous learning and collaboration. Team offsites help us foster a culture of trust across our London and San Francisco sites.

We’re looking for innovators passionate about tackling complex challenges and maximizing positive global impact. Join us on our moonshot mission.

• You are a computational protein designer. You have a proven track record of successfully leveraging novel computational tools and knowledge of biochemistry or structural biology to design proteins to functional requirements and applications in synthetic biology.
• You are a data scientist. You are a strong data scientist and you have experience owning data-driven projects to generate biological insights.
• You are a successful scientist. You have a PhD (or equivalent industry experience) in computational biology, bioinformatics, computer science, biochemistry, structural biology, physics, biophysics, bio/chem engineering, or a related field. Your research experience was in protein biochemistry using computational expertise.
• You collaborate with experimentalists. You have experience collaborating with experimental (i.e. wet lab) teams to achieve protein design objectives.
• You are an owner. You have a proven track record of delivering successful commercial and / or academic research projects, demonstrated through publications, patents, and/or commercially impactful outcomes, as well as other contributions to the scientific community.
• You are a connector. You love to connect people and enable them to perform at their highest levels. You have excellent communication and presentation skills with the ability to convey complex scientific concepts to both technical and non-technical audiences.
• You are a mission driven innovator. You are passionate about making a positive impact on the world, whether it's for patients, partners or beyond. You are motivated by the end goal and are flexible in adapting to different approaches and methodologies.
• You thrive in a dynamic and ambiguous environment. You excel in a fast-paced setting where goals must be achieved efficiently and urgently. You have a keen eye for creating, then optimizing processes to improve speed and repeatability. You are an advocate for lab automation, both through hardware and software

• You have experience with generative AI. You have experience leveraging generative AI (or other machine learning models) in synthetic biology applications.
• You have experience engineering gene editing tools, such as nucleases and integrases.
• You have experience with homology-based and structural bioinformatics, and are able to answer scientific questions using very large databases.
• You have helped scale a young biotech before. You have worked in startups and helped the company grow.

• Leverage our proprietary generative AI models to design proteins for experimental validation:
  • Analyze protein design problems based on functional requirements, biochemistry, structural biology and sequence homology
  • Generate designs using our proprietary generative AI models and optimize designs for experimental validation
  • Coordinate with our lab-based protein engineers to plan and optimize the design process and validation strategy
• Leverage our proprietary data to improve our models:
  • Analyze and leverage our experimental results to improve the next round of designs and increase our success rate over validation rounds
  • Collaborate with machine learning scientists to fine-tune and prompt our models
• Collaboration and communication:
  • Be an effective interface between machine learning model development and experimental validation
  • Capture bioengineering learnings and feedback to our machine learning unit, and vice versa
  • Foster a collaborative and innovative environment, proactively finding opportunities to innovate and create clarity and alignment between different units
• Contribute to our computational tools:
  • Help improve the way we use, serve and integrate our AI models, by feeding back to the software engineers and foundational machine learning unit
  • Help improve our data management systems and workflows
• Scientific excellence and self development:
  • Work to the highest scientific standards (publication-grade work)
    Stay on top of relevant developments in synthetic biology
  • Continue building your understanding of generative AI as well as expanded areas of protein and cell biology
  • Participate in knowledge sharing, e.g. organize and present at our internal reading group.
  • Attend and present at conferences when relevant

We offer strongly competitive compensation and benefits packages, including:

• Private health insurance
• Pension/401(K) contributions
• Generous leave policies (including gender neutral parental leave)
• Hybrid working
• Travel opportunities and more

We also offer a stimulating work environment, and the opportunity to shape the future of synthetic biology through the application of breakthrough generative models.

We welcome applicants from all backgrounds and we are committed to building a team that represents a variety of backgrounds, perspectives, and skills.

To apply, please fill in our application form.

We are seeking a Head of AI Protein Design to join our team working at the interface of generative AI and protein design. You will play a key role in shaping our scientific strategy, conceiving of and delivering on protein design campaigns as part of AI model validation and customer facing projects, whilst leading a team of computational protein designers.

This is an opportunity to help shape and grow an organization that advances artificial intelligence and applies it to longstanding scientific challenges. Using your blend of computational expertise, in-depth biochemical and structural understanding of proteins as well as cutting edge experimental techniques, you will drive our real world validation and application efforts to design for and optimize proteins. You will closely collaborate with our Frontier AI Models unit and our Experimental Platform unit.

At Latent Labs, we are building frontier models that learn the fundamentals of biology. We pursue ambitious goals with curiosity and are committed to scientific excellence. Before building Latent Labs, our team co-developed DeepMind’s Nobel-prize winning AlphaFold, invented latent diffusion, and built pioneering lab data management systems as well as high throughput protein screening platforms. At Latent Labs you will be working with some of the brightest minds in generative AI and biology.

Our team is committed to interdisciplinary exchange, continuous learning and collaboration. Team offsites help us foster a culture of trust across our London and San Francisco sites.

We’re looking for innovators passionate about tackling complex challenges and maximizing positive global impact. Join us on our moonshot mission.

• You are a computational protein designer. You have a proven track record of successfully leveraging novel computational tools and your knowledge of biochemistry or structural biology to run large protein design campaigns You are routinely using computational metrics at scale in order to score designed proteins and derive insights from experimental results.
• You have deep experience with generative AI. You have deep hands-on experience using state of the art machine learning tools such as AlphaFold, RFdiffusion, ProteinMPNN or similar models. Combined with your ability to build and train machine learning models from scratch, you are able to extend those models and tune them as required.
• You seek applied impact. You have a deep understanding of the practical requirements in drug discovery, such as the functional characteristics required of biologics. Combined with your knowledge of generative models you are able to devise protein design campaigns that aim for maximum applied impact.
• You are a successful scientist. You have a PhD (or equivalent industry experience) in artificial intelligence, computational biology, bioinformatics, computer science, biochemistry, structural biology, physics, biophysics, bio/chem engineering, or a related field. Your research experience was in protein design using computational expertise.
• You are an owner. You have a proven track record of delivering successful commercial and / or academic research projects, demonstrated through publications, patents, and/or commercially impactful outcomes, as well as other contributions to the scientific community.
• You are a leader. You are a trusted leader who loves to inspire people and enable them to perform at their highest levels. You have managed interdisciplinary teams before, and have excellent communication and presentation skills, with the ability to convey complex scientific concepts to both technical and non-technical audiences.
• You are a mission driven innovator. You are passionate about making a positive impact on the world, whether it's for patients, partners or beyond. You are motivated by the end goal and are flexible in adapting to different approaches and methodologies.
• You thrive in a dynamic and ambiguous environment. You excel in a fast-paced setting where goals must be achieved efficiently and urgently. You have a keen eye for creating, then optimizing processes to improve speed and repeatability. You are an advocate for lab automation, both through hardware and software

• You have a background in industry, such as experience working on R&D programs in pharma, in the areas of Biologics (e.g. antibodies).
• You have deep experience with multiple design applications, such as antibodies and enzymes.
• You have helped scale a young biotech before. You have worked in startups and helped the company grow.

• Define and implement a roadmap of proof-of-concept strategies that will enable commercial business objectives:
  • Based on industry experience and deep scientific insight, propose experimental validation projects for testing our AI models.
  • Set objectives for protein design campaigns to support proof-of-concept projects and internal business objectives .
• Help to develop the protein design platform & partnerships:
  • Together with the CEO and Head of Business Development, shape the portfolio of capabilities for the company’s protein design platform, helping to prioritize new areas and domains.
  • Collaborate closely with our Head of Business Development to cultivate strong, enduring relationships with our initial partners, ensuring their ongoing satisfaction and success.
  • Proactively seek opportunities to expand and deepen our relationships with new or existing partners, identifying areas for growth and collaboration.
• Lead and develop a high-performing computational protein design team:
  • Create a thriving team culture: Use your leadership skills to build a collaborative, innovative, and high-morale environment and proactively seek opportunities to ensure alignment and open communication within the team and across other departments.
  • Recruit and retain top talent: Attract exceptional computational protein design talent, and nurture their professional development.
• Leverage our proprietary generative AI models to design proteins for experimental validation:
  • Analyze protein design problems based on functional requirements, biochemistry, structural biology and sequence homology.
  • Generate designs using our proprietary generative AI models and optimize designs for experimental validation.
  • Coordinate with our machine learning scientists and our lab-based protein engineers to plan and optimize the design process and validation strategy.
• Leverage our proprietary data to improve our models:
  • Analyze and leverage our experimental results to improve the next round of designs and increase our success rate over validation rounds.
  • Collaborate with machine learning scientists to finetune and prompt our models.
• Collaboration and communication:
  • Be an effective interface between machine learning model development and experimental validation.
  • Analyze, interpret, and present findings to internal and external stakeholders, guiding strategic decision-making.
  • Foster a collaborative and innovative environment, proactively finding opportunities to innovate and create clarity and alignment between different units.
• Contribute to our internal computational tools:
  • Help to pioneer our research, by improving the way we use, serve and integrate our AI models.
  • Contribute to bespoke software and ML tools, such as for bioinformatics analysis, primer design, plate management, tracking and normalization, calibration of equipment etc.
  • Help improve our data management systems and workflows.
• Scientific excellence and self development:
  • Work to the highest scientific standards (publication-grade work).
  • Stay on top of relevant developments in synthetic biology.
  • Continue building your understanding of generative AI as well as expanded areas of protein and cell biology.
  • Participate in knowledge sharing, e.g. organize and present at our internal reading group.
  • Attend and present at conferences when relevant.

We offer strongly competitive compensation and benefits packages, a stimulating work environment, and the opportunity to shape the future of programmable biology through the application of breakthrough generative models. We welcome applicants from all backgrounds.

The role will be based in San Francisco. Ability to travel to London preferred.

To apply, please fill in our application form.

We are looking for a highly skilled machine learning researcher with strong experience in generative modeling. You will join an interdisciplinary team of machine learners, software engineers, biologists and bioinformaticians, jointly working to change the way that we control biology and cure diseases. This is an opportunity to help shape and grow an organization that advances artificial intelligence and applies it to longstanding scientific challenges. In your role you will apply, refine and evaluate our proprietary generative models with the goal of designing new proteins that are functional in wet lab assays.

At Latent Labs, we are building frontier models that learn the fundamentals of biology. We pursue ambitious goals with curiosity and are committed to scientific excellence. Before building Latent Labs, our team co-developed DeepMind’s Nobel-prize winning AlphaFold, invented latent diffusion, and built pioneering lab data management systems as well as high throughput protein screening platforms. At Latent Labs you will be working with some of the brightest minds in generative AI and biology.

Our team is committed to interdisciplinary exchange, continuous learning and collaboration. Team offsites help us foster a culture of trust across our London and San Francisco sites.

We’re looking for innovators passionate about tackling complex challenges and maximizing positive global impact. Join us on our moonshot mission.

• You are a strong ML researcher. You have a proven track record of expertise in generative modeling. You have worked on notable machine learning projects, as documented by your contributions to widely used open source libraries, significant product launches or high impact publications, e.g. at NeurIPS, ICML, ICLR or Nature venues.
• You are a skillful ML developer. You write ML code that is robust, tested and easy to maintain. You have experience using version control and code review systems. You are a fast prototyper and hacker who can also write production-quality code. You have experience running training and inference on cloud hardware, distributing data and models across accelerators.
• You are a data engineer. You have experience building ML data pipelines for the training and evaluation of deep learning models. You are able to analyze the raw data, construct appropriate dataset splits and build pipelines that are performant and scalable.
• You have experience in optimizing generative models. You have optimized the sampling characteristics of generative models, such as diffusion and language models, and you have experience with finetuning them.
• You are an owner. You have a proven track record of delivering successful commercial or research outcomes. You drive projects forwards from conception to completion and see them through with great focus and leadership.
• You are mission driven and curious. You are passionate about making a positive impact on the world, whether it's for patients, customers or beyond. You are motivated by the end goal and are flexible in adapting to different approaches and methodologies. You are relentlessly curious about problems, however small or big they appear.
• You thrive in a dynamic environment. You excel in a fast-paced setting where goals must be achieved efficiently and urgently.

• You have experience in computational biology or protein design. You have worked on ML-driven projects in biology or conducted large scale bioinformatics analysis.
• You have a natural science background. You are academically trained in physics, biology, chemistry or other related fields.
• You have helped scale a young biotech before. You have worked in startups and helped the company grow.

• Apply our proprietary generative AI models to design proteins for experimental validation:
  • Closely collaborate with protein designers to generate designs using our proprietary generative AI models.
  • In collaboration with the biology team, plan wet lab testing campaigns and carry out model inference against biological targets to enable their testing in the wet lab.
  • Leverage our proprietary data to improve our models:
  • Leverage our experimental results to finetune our models and improve the next round of designs.
  • Collaborate in a joint codebase with other research scientists, engineers and protein designers, maintaining highest code standards.
  • Effectively translate between machine learning model development and experimental validation.
• Evaluate model capabilities:
  • Design informative benchmark tasks to track the performance of our models.
  • Closely collaborate with protein designers, bioinformaticians and biologists to ensure the biological relevance of our model evaluations.
• Self development:
  • Stay on top of the latest developments in ML.
  • Gain a strong working understanding of protein and cell biology.
  • Participate in knowledge sharing, e.g. organize and present at our internal reading group.
  • Attend and present at conferences when relevant.

We offer strongly competitive compensation and benefits packages, including:

• Private health insurance
• Pension/401(K) contributions
• Generous leave policies (including gender neutral parental leave)
• Hybrid working
• Travel opportunities and more

We also offer a stimulating work environment, and the opportunity to shape the future of synthetic biology through the application of breakthrough generative models.

We welcome applicants from all backgrounds and we are committed to building a team that represents a variety of backgrounds, perspectives, and skills.

To apply, please fill in our application form.